Senior Machine Learning Engineer

Blue J; Toronto; Hybrid; CAD 140,000 - 180,000; Full time

Job summary

Blue J in Canada is seeking a Senior Machine Learning Engineer to advance AI-assisted tax research. This hybrid role involves designing and deploying ML systems, mentoring team members, and collaborating on cutting-edge technology. The ideal candidate will have over 8 years of experience with a strong Python background and understanding of ML concepts. Compensation ranges from CA$140,000 to CA$180,000 annually, based on experience and expertise. Join a diverse team dedicated to innovation and inclusiveness.

Qualifications

• 8+ years of hands-on experience in machine learning engineering.
• Solid understanding of machine learning fundamentals and algorithms.
• Hands-on experience with Retrieval-Augmented Generation (RAG).
• Proven experience leading technical projects or teams.
• Strong communication skills to explain complex technical ideas.
• A growth mindset with curiosity and a desire to keep learning.

Responsibilities

• Designing, developing, and deploying ML systems end-to-end.
• Mentoring other engineers and data scientists on impact solutions.
• Collaborating to bring advanced ML techniques into applications.
• Improving ML engineering standards, tooling, and best practices.
• Staying updated on industry trends and innovations.

Skills

Machine learning engineering

Python

Mentorship

Deep learning

Natural language processing

Generative AI

Communication skills

Tools

PyTorch

TensorFlow

scikit-learn

LangChain

Hugging Face

Job description

We are looking for a skilled Senior Machine Learning Engineer who thrives in a fast‑paced environment and is passionate about shaping the future of AI‑assisted tax research. Your work will directly advance our product and AI capabilities, keeping our technology at the leading edge.

About The Role

As a Senior Machine Learning Engineer, you’ll help shape the next generation of intelligent features and systems that power our products. You’ll work closely with data scientists and software engineers to design, build, and deploy scalable RAG solutions for the domain of tax and legal research.

This role is a great fit for someone who’s curious about data and eager to turn insights into real‑world impact. You’ll also support other team members through mentorship, sharing what you know, and collaborating to grow our machine learning practice.

What You'll Be Doing

• Designing, developing, and deploying end‑to‑end machine learning systems from data processing and prompt engineering to model evaluation and production deployment
• Writing high‑quality, well‑tested ML code while mentoring other engineers and data scientists to deliver impactful, production‑ready solutions
• Collaborating with data science and engineering to bring state‑of‑the‑art ML techniques including deep learning, NLP, and generative AI into real‑world tax applications
• Sharing knowledge, reviewing code and experiments, and helping improve our ML engineering standards, tooling, and best practices
• Staying on top of industry and technology trends, exploring new ideas and innovations to bring into your work

What You Offer Us

• 8+ years of hands‑on experience in machine learning engineering, with a strong background in Python
• Solid understanding of machine learning fundamentals, data structures, and algorithms, with experience deploying ML models into production environments
• Hands‑on experience with Retrieval‑Augmented Generation (RAG) and agentic AI, such as implementing end‑to‑end pipelines and understanding core components
• Proven experience leading technical projects or teams, ideally involving ML systems or data products
• Strong communication skills, able to explain complex technical ideas clearly and collaborate effectively across teams
• A growth mindset, you bring curiosity, rigor, and a desire to keep learning and improving both your craft and the systems you work on

Technologies You Can Expect to Work With

• Languages & Frameworks: Python, TypeScript, Node.js
• ML & Data Tools: PyTorch, TensorFlow, scikit‑learn, LangChain, Hugging Face, proprietary and open‑source LLMs/Agents SDK/ADK

Location

This is a hybrid position that requires applicants to be within driving distance of Toronto for 1–2 in‑person meetings a quarter. All candidates must be eligible to work in Canada.

Compensation

The base pay range for this role is CA$140,000 – CA$180,000 per year.

Final compensation will be set fairly and thoughtfully based on experience, expertise, and alignment with the role’s responsibilities. While all candidates are expected to bring directly relevant experience, the top of the range is typically reserved for individuals who demonstrate exceptional depth in the role’s core competencies, a strong track record of impact in similar environments, and the ability to operate with a high degree of autonomy from day one.

Equal Employment Opportunity

We believe our strength is built on diversity of thought, and encourage candidates from all backgrounds and experiences to apply. We value inclusiveness and are an equal opportunity employer. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We strive to create an inclusive and accessible hiring experience for all candidates. If you need any accommodations during the interview process, please let us know in your application. Our team is dedicated to providing the necessary support and making reasonable adjustments to ensure a smooth process for everyone.